FM-Net: Deep Learning Network for the Fundamental Matrix Estimation from Biplanar Radiographs.
Sign Up to like & getrecommendations! Published in 2022 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2022.106782
Abstract: BACKGROUND AND OBJECTIVE The fundamental matrix estimation is a classic problem in computer vision. The traditional algorithms require high-precision correspondences. However, correspondences in biplanar radiographs are difficult to match accurately. METHODS We propose an end-to-end… read more here.
Keywords: fundamental matrix; matrix; biplanar radiographs; network ... See more keywords
A Robust Fundamental Matrix Estimation Method Based on Epipolar Geometric Error Criterion
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2946387
Abstract: In this paper, a robust fundamental matrix estimation method based on epipolar geometric error criterion is proposed. First, the method removes outliers into the computation of the fundamental matrix instead of taking it as an… read more here.
Keywords: fundamental matrix; matrix; method; error criterion ... See more keywords
CONFORMING IDENTIFICATION OF THE FUNDAMENTAL MATRIX IN THE IMAGE MATCHING PROBLEM
Sign Up to like & getrecommendations! Published in 2017 at "Computer Optics"
DOI: 10.18287/2412-6179-2017-41-4-559-563
Abstract: Abstract The article considers the conforming identification f the fundamental matrix in the image matching problem. The method consists in the divisi on of the initial overdetermined system into lesser dimensional subsystems. On these subsys… read more here.
Keywords: image matching; matrix image; fundamental matrix; conforming identification ... See more keywords